ORCID Profile
0009-0008-3121-6476
Current Organisation
James Cook University
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Publisher: Elsevier BV
Date: 06-2018
DOI: 10.1016/J.JSAMS.2017.10.003
Abstract: To compare game-play characteristics between elite youth and senior Australian National Rugby League (NRL) competitions. Longitudinal observational. The dataset consisted of 12 team performance indicators (e.g., 'all runs', 'offloads' and 'tackles') extracted from all 2016 national under 20 (U20) competition (elite youth n=372 observations) and National Rugby League (NRL) (elite senior n=378 observations) matches. Data was classified according to competition (Two levels: U20 and NRL) and modelled using two techniques. Firstly, non-metric multidimensional scaling resolved multivariate competition (dis)similarity, visualised using a two-dimensional ordination. Secondly, a conditional interference (CI) classification tree was grown to reveal the performance indicators most capable of explaining competition level. Non-metric multidimensional scaling revealed high competition dissimilarity, with U20 and NRL teams orienting distinctive positions on the first dimension of the ordination surface. Five team performance indicators were retained within the CI tree ('all runs', 'tackle breaks', 'tackles', 'missed tackles', and 'kicks'), which correctly classified 79% of the U20 observations and 93% of the NRL observations. Multivariate differences between elite youth and senior rugby league competitions were identified. Specifically, NRL game-play was classified by a greater number of 'all runs', and 'tackles' and a lower number of 'missed tackles' relative to the U20 competition. Given the national U20 competition is purported to assist with the development of prospective NRL players, junior coaches may consider training interventions that primarily aid the tackling capacities of players. This may subsequently assist with talent development and player progression in Australian rugby league.
Publisher: Informa UK Limited
Date: 21-10-2020
Publisher: Informa UK Limited
Date: 02-11-2019
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 11-2018
DOI: 10.1519/JSC.0000000000002350
Abstract: Pearce, LA, Sinclair, WH, Leicht, AS, and Woods, CT. Physical, anthropometric, and athletic movement qualities discriminate development level in a rugby league talent pathway. J Strength Cond Res 32(11): 3169–3176, 2018—This study compared the physical, anthropometric, and athletic movement qualities of talent-identified rugby league (RL) players within a development pathway. From a total of 174 players, 3 developmental levels were defined: under 18 (U18 n = 52), under 20 (U20 n = 53), and state league (SL n = 69). All players performed a test battery that consisted of 5 physical assessments, 2 anthropometric measurements, and an athletic movement assessment. A multivariate analysis of variance modeled the main effect of developmental level (3 levels: U18, U20, and SL) on test criterion variables. Receiver-operating characteristic (ROC) curves were then built for the criterion variables that showed a significant developmental level effect. A significant effect was noted ( V = 0.775, F = 5.43, p ≤ 0.05), with the SL players outperforming their U18 and U20 counterparts for measures of body mass, peak and average lower limb power, double lunge (left side), single-leg Romanian deadlift (left and right sides), the push-up, and total athletic ability assessment score ( p ≤ 0.05 d = 0.35–1.21). The ROC curves generated an area under the curve of greater than 65% for each test criterion, indicating greater than chance discrimination. These results highlight the physical, anthropometric, and athletic movement qualities discriminant of development level within a RL talent pathway. Practitioners are encouraged to consider the thresholds from the ROC curves as an objective guide to assist with the development of physical performance qualities that may augment player progression in Australian RL.
Publisher: Walter de Gruyter GmbH
Date: 08-2017
Abstract: This study investigated the effect of the officiating role on physical activity profiles of rugby league match officials during match-play. Physical performance indicators were collated from 23 match officials, resulting in 78 observations. Match officials were categorised into two groups: referees and touch judges. Microtechnology facilitated the quantification of total distance (m), relative distance (m⋅min -1 ), maximum velocity (m⋅s -1 ), the percentage of high intensity running distance (% total 3.01 m⋅s -1 ), walking distance ( m⋅s -1 ), jogging distance (1.01 – 3 m⋅s -1 ), fast jogging distance (3.01 - 5 m⋅s -1 ), and sprinting distance ( m⋅s-1). Multivariate analysis modelled the main effect of the officiating role with follow up univariate analyses identifying significant differences. A significant effect was noted (V = 750 F(8, 66) = 24.71 p 0.05) with referees covering a greater total distance (7767 ± 585 vs. 7022 ± 759 m), relative distance (90 ± 6 vs. 82 ± 8 m⋅min -1 ), jogging distance (3772 ± 752 vs. 3110 ± 553 m), and fast jogging distance (2565 ± 631 vs. 1816 ± 440 m) compared to touch judges. Touch judges covered greater distances while sprinting (1012 ± 385 vs. 654 ± 241 m). Results provide important guidance in the development of training programs for match officials.
No related grants have been discovered for Leesa Grier PhD.